# OpenAI

All functionality related to OpenAI

>[OpenAI](https://en.wikipedia.org/wiki/OpenAI) is American artificial intelligence (AI) research laboratory 
> consisting of the non-profit `OpenAI Incorporated`
> and its for-profit subsidiary corporation `OpenAI Limited Partnership`. 
> `OpenAI` conducts AI research with the declared intention of promoting and developing a friendly AI. 
> `OpenAI` systems run on an `Azure`-based supercomputing platform from `Microsoft`.

>The [OpenAI API](https://platform.openai.com/docs/models) is powered by a diverse set of models with different capabilities and price points.
> 
>[ChatGPT](https://chat.openai.com) is the Artificial Intelligence (AI) chatbot developed by `OpenAI`.

## Installation and Setup

Install the integration package with
```bash
pip install langchain-openai
```

Get an OpenAI api key and set it as an environment variable (`OPENAI_API_KEY`)


## LLM

See a [usage example](/docs/integrations/llms/openai).

```python
from langchain_openai import OpenAI
```

If you are using a model hosted on `Azure`, you should use different wrapper for that:
```python
from langchain_openai import AzureOpenAI
```
For a more detailed walkthrough of the `Azure` wrapper, see [here](/docs/integrations/llms/azure_openai)


## Chat model

See a [usage example](/docs/integrations/chat/openai).

```python
from langchain_openai import ChatOpenAI
```

If you are using a model hosted on `Azure`, you should use different wrapper for that:
```python
from langchain_openai import AzureChatOpenAI
```
For a more detailed walkthrough of the `Azure` wrapper, see [here](/docs/integrations/chat/azure_chat_openai)


## Text Embedding Model

See a [usage example](/docs/integrations/text_embedding/openai)

```python
from langchain_openai import OpenAIEmbeddings
```


## Tokenizer

There are several places you can use the `tiktoken` tokenizer. By default, it is used to count tokens
for OpenAI LLMs.

You can also use it to count tokens when splitting documents with 
```python
from langchain_text_splitters import CharacterTextSplitter
CharacterTextSplitter.from_tiktoken_encoder(...)
```
For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/document_transformers/split_by_token#tiktoken)

## Document Loader

See a [usage example](/docs/integrations/document_loaders/chatgpt_loader).

```python
from langchain_community.document_loaders.chatgpt import ChatGPTLoader
```

## Retriever

See a [usage example](/docs/integrations/retrievers/chatgpt-plugin).

```python
from langchain.retrievers import ChatGPTPluginRetriever
```

## Chain

See a [usage example](/docs/guides/safety/moderation).

```python
from langchain.chains import OpenAIModerationChain
```

## Adapter

See a [usage example](/docs/integrations/adapters/openai).

```python
from langchain.adapters import openai as lc_openai
```

## Tools

### Dall-E Image Generator

>[OpenAI Dall-E](https://openai.com/dall-e-3) are text-to-image models developed by `OpenAI` 
> using deep learning methodologies to generate digital images from natural language descriptions, 
> called "prompts".


See a [usage example](/docs/integrations/tools/dalle_image_generator).

```python
from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
```
